Examiner des modifications individuelles
Cette page vous permet d'examiner les variables générées pour une modification individuelle par le filtre antiabus et de les tester avec les filtres.
Variables générées pour cette modification
| Variable | Valeur |
|---|---|
Si la modification est marquée comme mineure ou non (minor_edit) | |
Nom du compte d’utilisateur (user_name) | GGLCindi649 |
Groupes (y compris implicites) dont l'utilisateur est membre (user_groups) | *
user
autoconfirmed
|
Si un utilisateur est ou non en cours de modification via l’interface mobile (user_mobile) | |
Numéro de la page (article_articleid) | 3218 |
Espace de noms de la page (article_namespace) | 2 |
Titre de la page (sans l'espace de noms) (article_text) | GGLCindi649 |
Titre complet de la page (article_prefixedtext) | Utilisateur:GGLCindi649 |
Action (action) | edit |
Résumé/motif de la modification (summary) | |
Ancien modèle de contenu (old_content_model) | wikitext |
Nouveau modèle de contenu (new_content_model) | wikitext |
Ancien texte de la page, avant la modification (old_wikitext) | %About_Yourself% |
Nouveau texte de la page, après la modification (new_wikitext) | As expected, the non-linear deep learning strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternative payment method which will change intermediaries with cryptographic strategies and needs [http://www.trungtamytechomoi.com.vn/Default.aspx?tabid=120&ch=198813 where to buy bitcoin] be embedded in the research areas of SIGeBIZ and SIGSEC. On this paper we suggest to remedy this downside by using the strategies initially developed for the computer-aided analysis for hardware and software program methods, specifically these based on the timed automata. In this paper we introduce a tool [http://cqms.skku.edu/b/lecture/1007694 where to buy bitcoin] review and analyze the UTXO set, along with an in depth description of the set format and performance. This paper gives an evaluation of the current state of the literature. This systematic literature overview examines cryptocurrencies (CCs) and [https://king-bookmark.stream/story.php?title=main-cryptocurrencies-together-with-bitcoin-ether-rise-amid-fears-russia-will-use-them-to-evade-sanctions king-bookmark.stream] Bitcoin. After this course, you’ll know every little thing you want to be able to separate reality from fiction when reading claims about Bitcoin and different cryptocurrencies. We show the time-various contribution ui(t) of the primary six base networks on determine 2. Most often, ui(t) features a couple of abrupt adjustments, partitioning the history of Bitcoin into separate time intervals. In the initial phase is excessive, fluctuating around (see Fig. 5), presumably a results of transactions going down between addresses belonging to a few fanatics trying out the Bitcoin system by transferring cash between their own addresses. |
Diff unifié des changements faits lors de la modification (edit_diff) | @@ -1,1 +1,1 @@
-%About_Yourself%
+As expected, the non-linear deep learning strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternative payment method which will change intermediaries with cryptographic strategies and needs [http://www.trungtamytechomoi.com.vn/Default.aspx?tabid=120&ch=198813 where to buy bitcoin] be embedded in the research areas of SIGeBIZ and SIGSEC. On this paper we suggest to remedy this downside by using the strategies initially developed for the computer-aided analysis for hardware and software program methods, specifically these based on the timed automata. In this paper we introduce a tool [http://cqms.skku.edu/b/lecture/1007694 where to buy bitcoin] review and analyze the UTXO set, along with an in depth description of the set format and performance. This paper gives an evaluation of the current state of the literature. This systematic literature overview examines cryptocurrencies (CCs) and [https://king-bookmark.stream/story.php?title=main-cryptocurrencies-together-with-bitcoin-ether-rise-amid-fears-russia-will-use-them-to-evade-sanctions king-bookmark.stream] Bitcoin. After this course, you’ll know every little thing you want to be able to separate reality from fiction when reading claims about Bitcoin and different cryptocurrencies. We show the time-various contribution ui(t) of the primary six base networks on determine 2. Most often, ui(t) features a couple of abrupt adjustments, partitioning the history of Bitcoin into separate time intervals. In the initial phase is excessive, fluctuating around (see Fig. 5), presumably a results of transactions going down between addresses belonging to a few fanatics trying out the Bitcoin system by transferring cash between their own addresses.
|
Lignes ajoutées lors de la modification (added_lines) | As expected, the non-linear deep learning strategies outperform the ARIMA forecast which performs poorly. We argue that cryptocurrencies are an alternative payment method which will change intermediaries with cryptographic strategies and needs [http://www.trungtamytechomoi.com.vn/Default.aspx?tabid=120&ch=198813 where to buy bitcoin] be embedded in the research areas of SIGeBIZ and SIGSEC. On this paper we suggest to remedy this downside by using the strategies initially developed for the computer-aided analysis for hardware and software program methods, specifically these based on the timed automata. In this paper we introduce a tool [http://cqms.skku.edu/b/lecture/1007694 where to buy bitcoin] review and analyze the UTXO set, along with an in depth description of the set format and performance. This paper gives an evaluation of the current state of the literature. This systematic literature overview examines cryptocurrencies (CCs) and [https://king-bookmark.stream/story.php?title=main-cryptocurrencies-together-with-bitcoin-ether-rise-amid-fears-russia-will-use-them-to-evade-sanctions king-bookmark.stream] Bitcoin. After this course, you’ll know every little thing you want to be able to separate reality from fiction when reading claims about Bitcoin and different cryptocurrencies. We show the time-various contribution ui(t) of the primary six base networks on determine 2. Most often, ui(t) features a couple of abrupt adjustments, partitioning the history of Bitcoin into separate time intervals. In the initial phase is excessive, fluctuating around (see Fig. 5), presumably a results of transactions going down between addresses belonging to a few fanatics trying out the Bitcoin system by transferring cash between their own addresses.
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Horodatage Unix de la modification (timestamp) | 1647725065 |
